Competitive Conditions in Global Value Chain Networks: An Assessment Using Entropy and Network Analysis

Angelidis, Georgios; Ioannidis, Evangelos; Makris, Georgios C.; Antoniou, Ioannis; Varsakelis, Nikos C.

doi:10.3390/e22101068

Cited by 15 publications

(8 citation statements)

References 43 publications

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“…Many natural complex systems are important to everyday life and can be modeled as networks [142]. Undesirable behavior in complex networks (e.g., epidemics [143], power outages [144], economic crises [145], abuse of dominant position [146]) have motivated the research in the field of complex network control [42,142].…”

Section: Control Of Complex Network: Is Emergence Lost?mentioning

confidence: 99%

Engineering Emergence: A Survey on Control in the World of Complex Networks

Berceanu

Pătraşcu

2022

Automation

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Complex networks make an enticing research topic that has been increasingly attracting researchers from control systems and various other domains over the last two decades. The aim of this paper was to survey the interest in control related to complex networks research over time since 2000 and to identify recent trends that may generate new research directions. The survey was performed for Web of Science, Scopus, and IEEEXplore publications related to complex networks. Based on our findings, we raised several questions and highlighted ongoing interests in the control of complex networks.

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Section: Control Of Complex Network: Is Emergence Lost?mentioning

confidence: 99%

Engineering Emergence: A Survey on Control in the World of Complex Networks

Berceanu

Pătraşcu

2022

Automation

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“…The rst type involves constructing the index system based on the "diamond model" and its derivatives 22 . The second type involves constructing an index system based on the theory of comparative advantage and the theory of competitive advantage and selecting different comparative advantage indicators and competitive advantage indicators [23][24][25] . This approach allows for the observation of the international competitiveness status of industries and its changes from multiple perspectives.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation and impact factors of cobalt resource industrial international competitiveness: A perspective based on trade networks

Xu,

Guo,

et al. 2024

Preprint

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In recent years, with the development of the new energy industry, the demand for cobalt as a raw material for power batteries has been increasing. However, China itself has a shortage of cobalt resources. Therefore, overcoming poor resource conditions and enhancing the international competitiveness of the cobalt industry have become urgent issues. This paper is based on global trade data on cobalt resources from 2007 to 2020. A panel regression model is constructed from the perspective of trade networks, and Entropy-Topsis is used to construct a comprehensive evaluation index system for the international competitiveness of critical nonferrous metals. This study empirically examines the impact of the trade network characteristics of cobalt resources on international competitiveness, assigns practical significance to trade network characteristic indicators, and analyses the overall competitiveness changes in the global cobalt industry chain and its upstream, midstream, and downstream sectors. The research findings reveal the following key points: (1) In recent years, the competitive focus of the cobalt industry chain in various countries has shifted from upstream and midstream to midstream and downstream, with increasingly fierce trade competition downstream, gradually tilting toward countries such as South Korea, Japan, and China. (2) Cobalt trade competition, which was initially characterized by competition among multiple countries, has gradually become more centralized and stable, with differences in the competitiveness of various countries occurring at different stages of the cobalt industry chain. (3) Network centrality and network heterogeneity both have a significant promoting effect on the international competitiveness of the industry, while network connectivity has a significant inhibitory effect on the improvement of international competitiveness.

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“…The centralization of a network [50,51], for the weighted out-degree centrality ( ) (Definition 12), is the fraction:…”

Section: Definition 13 (Weighted Out-degree Centralization)mentioning

confidence: 99%

Intelligent Agents in Co-Evolving Knowledge Networks

2021

Self Cite

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We extend the agent-based models for knowledge diffusion in networks, restricted to random mindless interactions and to “frozen” (static) networks, in order to take into account intelligent agents and network co-evolution. Intelligent agents make decisions under bounded rationality. This is the key distinction of intelligent interacting agents compared to mindless colliding molecules, involved in the usual diffusion mechanism resulting from accidental collisions. The co-evolution of link weights and knowledge levels is modeled at the local microscopic level of “agent-to-agent” interaction. Our network co-evolution model is actually a “learning mechanism”, where weight updates depend on the previous values of both weights and knowledge levels. The goal of our work is to explore the impact of (a) the intelligence of the agents, modeled by the selection-decision rule for knowledge acquisition, (b) the innovation rate of the agents, (c) the number of “top innovators” and (d) the network size. We find that rational intelligent agents transform the network into a “centralized world”, reducing the entropy of their selections-decisions for knowledge acquisition. In addition, we find that the average knowledge, as well as the “knowledge inequality”, grow exponentially.

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Competitive Conditions in Global Value Chain Networks: An Assessment Using Entropy and Network Analysis

Cited by 15 publications

References 43 publications

Engineering Emergence: A Survey on Control in the World of Complex Networks

Engineering Emergence: A Survey on Control in the World of Complex Networks

Evaluation and impact factors of cobalt resource industrial international competitiveness: A perspective based on trade networks

Intelligent Agents in Co-Evolving Knowledge Networks

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